OPTIMAL ESTIMATION OF FINITE POPULATION TOTAL UNDER A GENERAL CORRELATED MODEL
成果类型：
Article
署名作者：
MUKERJEE, R; SENGUPTA, S
署名单位：
University of Calcutta
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
发表日期：
1989
页码：
789794
关键词：
摘要：
Restricting attention to fixed size sampling designs and linear unbiased estimators of a finite population total, we give methods for findings estimators with minimum model expected variance and the optimal strategy under a general correlated superpopulation model. Some techniques popular in the theory of optimal experiments help in the derivation. Several earlier optimality results are deduced as special cases.